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The info cannot be fetched for the config 'default' of the dataset.
Error code:   InfoError
Exception:    HfHubHTTPError
Message:      504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/IRSC/ELDOR/tree/28173c6e02cc66fc86b0911a5fd9b62cee62b291?recursive=True&expand=False
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 638, in get_module
                  patterns = get_data_patterns(base_path, download_config=self.download_config)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 493, in get_data_patterns
                  return _get_data_files_patterns(resolver)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 290, in _get_data_files_patterns
                  data_files = pattern_resolver(pattern)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 372, in resolve_pattern
                  for filepath, info in fs.glob(fs_pattern, detail=True, **glob_kwargs).items():
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 521, in glob
                  return super().glob(path, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 604, in glob
                  allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 563, in find
                  out = self._ls_tree(path, recursive=True, refresh=refresh, revision=resolved_path.revision, **kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 446, in _ls_tree
                  self._ls_tree(
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 463, in _ls_tree
                  for path_info in tree:
                                   ^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 3140, in list_repo_tree
                  for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_pagination.py", line 37, in paginate
                  hf_raise_for_status(r)
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/IRSC/ELDOR/tree/28173c6e02cc66fc86b0911a5fd9b62cee62b291?recursive=True&expand=False

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ELDOR Data

  • Public dataset name: ELDOR
  • Local dataset root: GoldMDD/data
  • Output folders: train/image, train/label, val/image, val/label, test/image, test/label (copied from GoldMining/Data/Orthomosaic and GoldMining/Data/Label).
  • Source folders: Drone_Orthomosaic_V1/Orthomosaic_org and Drone_Orthomosaic_V1/Just_labels
  • Matching rule: label to orthomosaic by filename mapping, then crop/reproject label to orthomosaic grid.
  • Canonical labels: 14 semantic classes (1..14) plus 0=Background after class merging in ELDOR.
  • Split rule in this dataset: train/val/test assignment is listed in the Split column of the spatial metadata table.

Spatial metadata table (source files + aligned output)

Site Ortho file Label source file CRS Ortho size (W x H px) Label size (W x H px) Ortho res (m/px x,y) Label res (m/px x,y) Ortho lon range Ortho lat range Label lon range Label lat range Output size (W x H px) Foreground area (ha) Acquisition date Split
AcumulacionAaron2B AcumulacionAaron2B_corrected.tif AcumulacionAaron2B_classified_corrected.tif EPSG:32719 38122x17643 38111x17760 0.056308, 0.056308 0.056323, 0.055936 [-70.419597, -70.399788] [-12.627643, -12.618558] [-70.419597, -70.399788] [-12.627643, -12.618558] 38122x17643 212.0501 2022-04-24 train
Anel Anel_corrected.tif Anel_classified_corrected.tif EPSG:32719 26909x24725 17662x17661 0.056620, 0.056620 0.058580, 0.059049 [-69.714044, -69.699976] [-12.713767, -12.701071] [-69.711529, -69.701974] [-12.711964, -12.702509] 18274x18420 102.7175 2022-04-08 test
Clavelito Clavelito_corrected.tif Clavelito_classified_corrected.tif EPSG:32719 19865x40307 19357x39684 0.075601, 0.075601 0.076376, 0.076781 [-70.605945, -70.591929] [-12.961391, -12.933761] [-70.605944, -70.592143] [-12.961387, -12.933761] 19556x40304 344.5330 2022-05-09 val
ElEngano ElEngano_corrected.tif ElEngano_classified_corrected.tif EPSG:32719 23616x24742 17473x17473 0.057233, 0.057233 0.057566, 0.058201 [-69.962478, -69.949966] [-13.020161, -13.007312] [-69.960769, -69.951459] [-13.018407, -13.009178] 17575x17770 101.2404 2022-03-03 test
Kotsimba Kotsimba_corrected.tif Kotsimba_classified_corrected.tif EPSG:32719 57331x53961 57227x53950 0.072760, 0.072760 0.072889, 0.072771 [-70.283655, -70.244998] [-13.136635, -13.100951] [-70.283654, -70.244999] [-13.136634, -13.100952] 57328x53959 693.7270 2022-05-26 train
Linda Linda2_corrected.tif Linda_classified_corrected.tif EPSG:32719 23601x23698 17352x17352 0.057632, 0.057632 0.059290, 0.059408 [-69.953378, -69.940789] [-13.020082, -13.007688] [-69.951874, -69.942353] [-13.018530, -13.009175] 17852x17888 98.8187 2022-02-28 test
Los5Rebeldes Los5Rebeldes_corrected.tif Los5Rebeldes_classified_corrected.tif EPSG:32719 43867x76279 33334x66668 0.030000, 0.030000 0.030140, 0.030001 [-70.672354, -70.660084] [-13.034336, -13.013573] [-70.670932, -70.661549] [-13.032969, -13.014831] 33490x66672 199.9257 2022-02-04 train
Nayda Nayda_corrected.tif Nayda_classified_corrected.tif EPSG:32719 22677x23480 17665x17665 0.056610, 0.056610 0.057532, 0.057385 [-69.721603, -69.709746] [-12.713363, -12.701313] [-69.720152, -69.710766] [-12.711798, -12.702607] 17954x17908 101.9933 2022-08-04 val
Paolita Paolita1_corrected.tif Paolita1_classified_corrected.tif EPSG:32719 58663x33523 54108x27055 0.055446, 0.055446 0.055275, 0.055441 [-69.630457, -69.600462] [-12.689889, -12.673012] [-69.629627, -69.602050] [-12.688983, -12.675355] 53943x27054 445.5226 2022-02-21 test
PlayaMirador1 PlayaMirador_corrected.tif PlayaMirador_classified_corrected.tif EPSG:32719 22911x22394 17608x17608 0.056792, 0.056792 0.056840, 0.057298 [-70.377536, -70.365474] [-13.063390, -13.051829] [-70.376072, -70.366793] [-13.062030, -13.057446] 17624x8883 50.1027 2022-03-10 train
PlayaMirador2 PlayaMirador_corrected.tif PlayaMirador_classified_corrected.tif EPSG:32719 22911x22394 17608x17608 0.056792, 0.056792 0.056840, 0.057298 [-70.377536, -70.365474] [-13.063390, -13.051829] [-70.376072, -70.366793] [-13.057446, -13.052861] 17624x8883 50.1021 2022-03-10 val
SantaInesDosMil SantaInesDosMil_corrected.tif SantaInesDosMil_classified_corrected.tif EPSG:32719 22883x24295 17185x17184 0.058193, 0.058193 0.058873, 0.058471 [-70.386657, -70.374307] [-13.063436, -13.050589] [-70.385274, -70.375895] [-13.061789, -13.052656] 17387x17267 100.9625 2022-03-10 test

Unified class mapping (ELDOR merged classes)

Canonical ID Class Merged from original IDs Color swatch Color (HEX) Area (ha) Percentage (%) Pixel count Alias names seen in metadata
1 Building 1,4 #8A6A3D 2.3745 0.09 6,367,488 Area urbana; Campamento minero
2 Mining raft 2 #7BEBFB 0.1467 0.01 461,925 Balsa; Balsa de mineria; Raft
3 Primary Forest 3 #B04C18 961.8239 38.45 3,308,805,552 Bosque primario; Primary forest
4 Heavy machinery 5,8,9,19 #EE92C6 0.0161 0.00 43,313 Cargador frontal; Excavadora; Maquinaria pesada; Volquete; Dump truck
5 Water bodies 6 #4F6F6F 321.2655 12.84 1,085,789,506 Cuerpos de agua
6 Agricultural crop 7 #84D08C 33.5185 1.34 105,688,237 Cultivos agricolas; Cultivo agricola; Cultivos; Crops
7 Compact mounds 10 #23F3E3 66.2310 2.65 215,787,431 Monticulo compacto; Compact mound
8 Gravel mounds 11 #585400 13.2680 0.53 42,049,847 Monticulos de cascajo
9 Grass 12 #8DB51D 28.3472 1.13 87,888,718 Pasto
10 Type 1 natural regeneration 13 #C2163A 228.5563 9.14 660,993,175 Regeneracion natural tipo 1; Regeneracion tipo 1; Type 1 disturbed vegetation
11 Type 2 natural regeneration 14 #F77757 523.1002 20.91 1,710,062,485 Regeneracion natural tipo 2; Regeneracion tipo 2; Type 2 disturbed vegetation
12 Bare ground 15 #2CD874 322.9909 12.91 882,535,708 Suelo desnudo; Bare soil
13 Sluice 16 #613991 0.0403 0.00 126,368 Tolva; Tolvas; Hopper
14 Vehicles 17,18 #969AAE 0.0092 0.00 85,244 Vehiculos; Vehiculos pequenos; Vehiculos pequeños; Small Vehicles

Label color plan (6-digit HEX)

ID Class HEX
0 Background #000000
1 Building #8A6A3D
2 Mining raft #7BEBFB
3 Primary Forest #B04C18
4 Heavy machinery #EE92C6
5 Water bodies #4F6F6F
6 Agricultural crop #84D08C
7 Compact mounds #23F3E3
8 Gravel mounds #585400
9 Grass #8DB51D
10 Type 1 natural regeneration #C2163A
11 Type 2 natural regeneration #F77757
12 Bare ground #2CD874
13 Sluice #613991
14 Vehicles #969AAE

Per-site classes using ELDOR merged mapping

Site Split Output ortho PNG Output label PNG Output size (W x H px) Output total pixels Merged class IDs present Merged class names present
AcumulacionAaron2B train AcumulacionAaron2B.png AcumulacionAaron2B.png 38122x17643 672,586,446 1,2,3,4,5,6,8,10,11,12,13,14 Building; Mining raft; Primary Forest; Heavy machinery; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice; Vehicles
Kotsimba train Kotsimba.png Kotsimba.png 57328x53959 3,093,361,552 1,3,5,6,7,10,11,12 Building; Primary Forest; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground
Los5Rebeldes train Los5Rebeldes.png Los5Rebeldes.png 33490x66672 2,232,845,280 1,3,5,6,7,10,11,12,14 Building; Primary Forest; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Vehicles
PlayaMirador1 train PlayaMirador1.png PlayaMirador1.png 17624x8883 156,553,992 1,3,5,6,9,10,11,12 Building; Primary Forest; Water bodies; Agricultural crop; Grass; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground
Clavelito val Clavelito.png Clavelito.png 19556x40304 788,185,024 1,3,4,5,6,7,10,11,12 Building; Primary Forest; Heavy machinery; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground
Nayda val Nayda.png Nayda.png 17954x17908 321,520,232 1,2,3,5,6,8,10,11,12,13 Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice
PlayaMirador2 val PlayaMirador2.png PlayaMirador2.png 17624x8883 156,553,992 1,3,5,6,9,10,11,12 Building; Primary Forest; Water bodies; Agricultural crop; Grass; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground
Anel test Anel.png Anel.png 18274x18420 336,607,080 1,2,3,5,6,8,10,11,12,13 Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice
ElEngano test ElEngano.png ElEngano.png 17575x17770 312,307,750 3,5,6,10,11,12 Primary Forest; Water bodies; Agricultural crop; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground
Linda test Linda.png Linda.png 17852x17888 319,336,576 1,2,3,5,10,11,12,13 Building; Mining raft; Primary Forest; Water bodies; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice
Paolita test Paolita.png Paolita.png 53943x27054 1,459,373,922 1,2,3,5,6,8,10,11,12,13 Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice
SantaInesDosMil test SantaInesDosMil.png SantaInesDosMil.png 17387x17267 300,221,329 1,3,5,6,10,11,12 Building; Primary Forest; Water bodies; Agricultural crop; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground

Generation workflow

  • Source orthomosaic/label alignment and original canonical labels come from GoldMining/Data.
  • ELDOR labels are remapped from the original 19-class canonical IDs into a 14-class merged scheme (stored only under GoldMDD/data/*/label).
  • Merge rules:
    • Heavy machinery = original IDs 5 (Front loader), 8 (Excavator), 9 (Heavy machinery), 19 (Dump truck)
    • Vehicles = original IDs 17 (Vehicles), 18 (Small vehicles)
    • Building = original IDs 1 (Urban area), 4 (Mining camp)
  • Heatmap output: GoldMDD/site_class_pixel_counts_heatmap_merged.png
  • Heatmap CSV: GoldMDD/site_class_pixel_counts_merged.csv
  • Train/val/test distribution plot: GoldMDD/train_val_test_class_distribution_merged.png
  • Train/val/test distribution CSV: GoldMDD/train_val_test_class_distribution_merged.csv

Cropped patch dataset (data-cropped)

  • Output root: GoldMDD/data-cropped
  • Patch size: 512x512
  • Stride: 256
  • Filtering rule: drop a patch if background pixels in the merged label (label==0) are >80%.
  • Windowing rule: full windows only (no padding).
  • Patch naming: matching basenames per pair, e.g. image AcumulacionAaron2B_2_3.jpg and label AcumulacionAaron2B_2_3.png (1-based row/col indices).
  • Storage format: image patches = JPEG, label patches = PNG (lossless class IDs).
  • Folder structure: train/image, train/label, val/image, val/label, test/image, test/label.

Crop summary by split

Split # Sites Candidate windows Kept patches Dropped (>80% bg) Kept ratio
train 4 91,869 65,798 26,071 0.716
val 3 18,603 15,988 2,615 0.859
test 5 40,172 40,095 77 0.998
Total 12 150,644 121,881 28,763 0.809

Crop summary by site

Split Site Source size (W x H) Candidate windows Kept patches Dropped (>80% bg) Kept ratio
train AcumulacionAaron2B 38122x17643 9,849 9,849 0 1.000
train Kotsimba 57328x53959 46,398 20,327 26,071 0.438
train Los5Rebeldes 33490x66672 33,411 33,411 0 1.000
train PlayaMirador1 17624x8883 2,211 2,211 0 1.000
val Clavelito 19556x40304 11,700 9,085 2,615 0.776
val Nayda 17954x17908 4,692 4,692 0 1.000
val PlayaMirador2 17624x8883 2,211 2,211 0 1.000
test Anel 18274x18420 4,900 4,890 10 0.998
test ElEngano 17575x17770 4,556 4,556 0 1.000
test Linda 17852x17888 4,624 4,577 47 0.990
test Paolita 53943x27054 21,736 21,716 20 0.999
test SantaInesDosMil 17387x17267 4,356 4,356 0 1.000
  • Summary CSVs:
    • GoldMDD/data-cropped/crop_summary_by_split.csv
    • GoldMDD/data-cropped/crop_summary_by_site.csv
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